Adinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects Before treatment, 14 stjects had a mean wake time of 105.0 min. After treatment, the 14 subjects had cand a standard deviation of 21.7 min. Assume that the 14 sample values appear to be from a normally distributed population and construct a 99% confidence interval estimate oWhat does the result suggest about the mean wake time of t 50 min beture the treatment? Does the drug appear to be effective?Construct the 90% confidence interval estimate of the mean wake time for a population with the treatment(Round to one decimal place as needed)What does the result suggest about the mean wake time of 105.0 min before the treatment? Does the drug appear to be effective?The confidence intervalof 105.0 min before the treatment, so the means before and after the treatmentThis result suggests that the dog treatmentwe ime of 957INang treatments

Sample size, n = 14Sample mean, Sample standard deviation, s = 21.7Confidence level = 99%

Answered: Adinical trial was conducted to test…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Although many people think they can put a meal on the table in a short period of time, a recent article reported that they end up spending about 40 minutes doing so. Suppose another study is conducted to test the validity of this statement. A sample of 25 people is selected, and the length of time to prepare and cook dinner is recorded with mean=45.628 minutes, standard deviation=6.9587 minutes. Is there evidence that the population mean time to prepare and cook dinner is greater than 40 minutes? Use a level of significance of 0.05. Determine the p-value and interpret its meaning.
The average American consumes 86 liters of alcohol per year. Does the average college student consume more alcohol per year? A researcher surveyed 11 randomly selected college students and found that they averaged 95.8 liters of alcohol consumed per year with a standard deviation of 20 liters. What can be concluded at the the a = 0.05 level of significance? a. For this study, we should use t-test for a population mean O b. The null and alternative hypotheses would be: Ho: μ = H₁: μ > O 86 O 86 c. The test statistic (t) = d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... 1.625 (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) O The data suggest the population mean is not significantly more than 86 at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is…
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12.3 years old. Do the data support the claim at the 5% significance level? What are the correct hypotheses? Ho: Select an answer v ? v years H1: Select an answer v years Based on the hypotheses, find the following: Test Statistic z = (Round to 4 decimal places.) Critical Values = + (Round to 2 decimal places.) Based on the above we choose to Select an answer The correct summary would be: Select an answer that the mean age smokers first start is different than 13.
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? Ho: LU Test Statistic z = #v Critical Values =+ O OF 13 H₁: u Based on the hypotheses, find the following: 13 o years (Round to 4 decimal places.) (Round to 2 decimal places.) Based on the above we choose to Reject the null hypothesis years The correct summary would be: There is enough evidence to support the claim smokers first start is different than 13. that the mean age
The manufacturer of a particular brand of tires claims they average at least 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 28 tires surveyed, the mean lifespan was 46500 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? We should use a test. What are the correct hypotheses? H0: Ha: Based on the hypotheses, find the following:Test Statistic=p-value= The correct decision is to . The correct conclusion would be:
The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS- electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 30 smokers found that their mean starting age was 12.2 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? Ho: Select an answer v ? v years H3: Select an answer v years The test is: O One-tailed O Two-tailed
Tesla claims that it’s latest battery will take only 1 hour to recharge and the battery will last more than double the time of a normal battery. On average, their battery lasts for 70 months. A research group wanted to test that claim. They took a sample of 50 batteries and they found that on average a Tesla battery would last 67 months with a standard deviation of 3.5 months. Using a 3% significance level can you conclude that the mean life of all the Tesla batteries is less than 70 months. (Use the P values approach)
Bone mineral density (BMD) is a measure of bone strength. Studies show that BMD declines after age 45. The impact of exercise may increase BMD. A random sample of 59 women between the ages of 41 and 45 with no major health problems were studied. The women were classified into one of two groups based upon their level of exercise activity: walking women and sedentary women. The 39 women who walked regularly had a mean BMD of 5.96 with a standard deviation of 1.22. The 20 women who are sedentary had a mean BMD of 4.41 with a standard deviation of 1.02. Which of the following inference procedures could be used to estimate the difference in the mean BMD for these two types of women
can someone please help me? I keep getting this wrong so if someone could explain that would help so much. Thanks!! the t statistic test is -3.108 by the way!
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A clinical researcher performs a clinical trial on 20 patients to determine whether a drug treatment has an effect on serum glucose. The sample mean glucose of the patients before and after the treatment are summarized in the following table. The sample standard deviation of the differences was 10. Before TreatmentSample mean glucose (mg/dL): 117 After TreatmentSample mean glucose (mg/dL): 111 What type of hypothesis test should be performed?Unpaired t-testTwo-tailed z-testLeft-tailed z-testPaired t-test What is the test statistic? What is the number of degrees of freedom? Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the α = 0.01 significance level?YesNo
The mean age when smokers first start is 13 years old with a population standard deviation of 1.8 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 31 smokers found that their mean starting age was 12.4 years old. Do the data support the claim at the 1% significance level? What are the correct hypotheses? Họ: Select an answer ♥ years H1: Select an answer v years Based on the hypotheses, find the following: Test Statisticz = (Give answer to at least 4 decimal places) p-value = (Give answer to at least 4 decimal places) Based on the above we choose to Select an answer The correct summary would be: Select an answer mean age smokers first start is different than 13. that the claim that the

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